Senior Cloud Data Engineer - AWS Modernisation & Migration

Whizdom; Sydney; In loco; AUD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Large-scale project

AWS technologies exposure

Collaborative environment

Long-term engagement

Descrizione del lavoro

Whizdom in Sydney, NSW, seeks a Senior Data Engineer to modernise a legacy SQL Server platform into AWS-native data capabilities. You will design, build and optimise cloud data solutions while migrating databases, ETL processes, reporting platforms and analytics workloads.

The role requires strong SQL, 5+ years in data engineering, and hands-on AWS experience with Aurora, Glue, Redshift and QuickSight. Join a collaborative, fast-paced cloud modernisation program.

Competenze

• 5+ years in data/DB engineering and data platforms.
• Strong SQL development and performance tuning skills.
• Hands-on with AWS data services: Aurora, Glue, Redshift, QuickSight.
• Experience with ETL/ELT pipelines and cloud-native data solutions.
• Proficient in Python and/or PySpark for data processing.
• Familiar with Git, CI/CD, DevOps practices and Agile delivery.
• Understanding of data governance, security and operational support.

Mansioni

• Modernise legacy SQL Server data platform to Amazon Aurora PostgreSQL.
• Analyse and convert SSIS ETL workflows to AWS Glue jobs/workflows.
• Migrate analytics workloads and data warehouse capabilities to Redshift.
• Redevelop reporting and dashboards using AWS-native technologies.
• Design and build scalable data ingestion, transformation and reporting pipelines.
• Develop and optimise database structures, schemas and performance.
• Implement and maintain CI/CD pipelines for data deployments.
• Establish data quality, monitoring and operational support frameworks.
• Collaborate with architects, developers and stakeholders across teams.
• Support testing, cutover activities and post-production support.

Conoscenze

Data engineering

SQL development

AWS data services

Python / PySpark

ETL/ELT pipelines

CI/CD / DevOps

Agile methodologies

Strumenti

Amazon Aurora PostgreSQL

AWS Glue

Amazon Redshift

AWS QuickSight

AWS DMS

Schema Conversion Tool

Descrizione del lavoro

Senior Data Engineer - Cloud Data Modernisation

Contract Opportunity | Sydney, NSW

About the Company

Our client is a well-established technology consulting organisation delivering large-scale digital transformation and cloud modernisation projects for enterprise and government customers across Australia. They are recognised for providing innovative data, cloud, and technology solutions that support critical business outcomes.

About the End Client

The end client is a large organisation undertaking a significant cloud transformation initiative focused on modernising legacy data platforms and establishing scalable, cloud-native data capabilities. This programme will support improved analytics, reporting, operational efficiency, and long-term data strategy.

The Opportunity

An exciting opportunity exists for an experienced Senior Data Engineer to play a key role in modernising a legacy Microsoft SQL Server data platform and transitioning it to AWS-native services. You will be responsible for designing, building, and optimising scalable cloud data solutions while supporting the migration of databases, ETL processes, reporting platforms, and analytical workloads.

Key Responsibilities

• Modernise SQL Server databases to Amazon Aurora PostgreSQL.
• Analyse and convert SSIS ETL workflows into AWS Glue jobs and workflows.
• Migrate analytical workloads and legacy data warehouse capabilities into Amazon Redshift.
• Redevelop reporting and dashboard solutions using AWS-native technologies.
• Design and build scalable data ingestion, transformation, and reporting solutions.
• Develop and optimise database structures, schemas, and performance.
• Implement and maintain CI/CD pipelines for data and database deployments.
• Establish data quality, monitoring, and operational support frameworks.
• Collaborate with architects, developers, business stakeholders, and reporting teams.
• Support testing, reconciliation, cutover activities, and post-production support.

Required Skills & Experience

• 5+ years' experience in Data Engineering and Database Engineering.
• Strong SQL development and database performance tuning expertise.
• Hands-on experience with AWS data services, including:
  • Amazon Aurora PostgreSQL
  • AWS Glue
  • Amazon Redshift
  • AWS QuickSight
• Experience with AWS DMS and AWS Schema Conversion Tool will be highly regarded.
• Strong data modelling and database design skills.
• Proficiency with Python and/or PySpark.
• Proven experience delivering ETL/ELT pipelines and cloud-native data solutions.
• Experience working with Git, CI/CD pipelines, DevOps practices, and Agile methodologies.
• Understanding of data governance, security, and operational support requirements.

What's on Offer

• Opportunity to work on a large-scale cloud data transformation programme.
• Exposure to modern AWS data and analytics technologies.
• Collaborative and high-performing project environment.
• Long-term project potential with significant technical impact.
• Opportunity to shape future-state cloud data architecture and analytics capability.

How to Apply

If you are a highly skilled Data Engineer with strong AWS data platform experience and are looking for your next contract opportunity, we would love to hear from you.

For further information, please contact:

Farbar Siddiq
📧 [e-mail]
📞 0489 922 211

Apply now to be considered for this exciting cloud data modernisation opportunity.